I dont remember where I stopped this, but around 120 epoch I think.. This isnt a person, its a body type comprised of images that are trained on WAN 14b T2V,

WAN Colleen Body

This isnt a person, its a body type comprised of images that are trained on WAN 14b T2V, thats how this works.

wan_colleen_met_T2V_14b.safetensors

v1.0

Turning this into a project: 4.1.25 - added Wan T2V model - 14b Im no expert and still learning comfy UI.. but please feel free to ask any questions I will answer to the best of my ability. Colleen AAge when shot: 19Eye color: blueHair color: brownHeight: 160cmWeight: 51kgBreast size: smallMeasurements: 79/56/79Country: Russian FederationEthnicity: Caucasian

Colleen A - Met Art - PROJECT

WAN T2V - 14b - will add more samples, takes forever. typical 512x512, 20 steps, length 48 at the lowest. [2025-04-01 18:21:03,533] [INFO] [<a target="_blank" rel="ugc" href="http://logging.py:107">logging.py:107</a>:log_dist] [Rank 0] step=1920, skipped=0, lr=[2e-05], mom=[0.0]steps: 1920 loss: 0.0964 iter time (s): 3.341 samples/sec: 1.197Saving model to directory epoch120

Files with SHA256: df4e84bc6971c1fa6fac18c8ecfd77efa0a38fa616ed56ed390c19a2e50e3162